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- Algolia-vs-Elastic Enterprise Search
Compare Algolia and Elastic Enterprise Search 
- Users report that Algolia excels in Typo Tolerance with a score of 9.2, making it highly effective for handling user input errors, while Elastic Enterprise Search scores lower at 8.2, which may lead to missed search opportunities.
- Reviewers mention that Algolia's Faceted Search feature is rated at 9.2, providing a more refined search experience, whereas Elastic Enterprise Search, with a score of 8.4, may not offer the same level of granularity in filtering search results.
- G2 users highlight Algolia's superior Search Analytics capabilities, scoring 8.7, which allows for better insights into user behavior compared to Elastic Enterprise Search's score of 9.0, indicating a more robust analytics framework.
- Users on G2 report that Algolia's Product Recommendations feature, rated at 8.3, is less effective than Elastic Enterprise Search's 8.9, suggesting that Elastic may provide a more personalized experience for users looking for tailored suggestions.
- Reviewers mention that Algolia's Indexing process is rated at 9.1, indicating a faster and more efficient setup, while Elastic Enterprise Search's score of 8.7 suggests it may require more time or effort to achieve similar results.
- Users say that Algolia's Natural Language processing capabilities, rated at 8.9, are more advanced than Elastic Enterprise Search's 8.3, which can enhance user experience by better understanding and processing user queries.
- Unlimited Applications Per User
- Integration with SFCC, Shopify, Magento
- Integration with Segment, Google Tag Manager
- Crawled every 3 days
- Core Search Features
- Unlimited users
The search results are accurate and are fast. The analytics for what queries are not getting results and what documents get the most hits is nice.
It is (apart from the speed) quite unsophisticated. The entire model is geared to get you to pay more, more, more; which is a bit sad. Bug reports are countered with "we can only fix that on an enterprise server" (which is $1500+ per month).
The Swiftype team is incredible responsive and they helped us in every step of the Search integration. As a tech publication, we need to be able to deliver real time results and make sure users are always able to find what they are looking for. Swiftype...
Unfortunately, and this is VERY SERIOUS, we have noticed that the search results returned by Switftype are incorrect. Some of the results that it SHOULD BE including for a given user keyword request are NOT included and some of the results that it IS...
The search results are accurate and are fast. The analytics for what queries are not getting results and what documents get the most hits is nice.
The Swiftype team is incredible responsive and they helped us in every step of the Search integration. As a tech publication, we need to be able to deliver real time results and make sure users are always able to find what they are looking for. Swiftype...
It is (apart from the speed) quite unsophisticated. The entire model is geared to get you to pay more, more, more; which is a bit sad. Bug reports are countered with "we can only fix that on an enterprise server" (which is $1500+ per month).
Unfortunately, and this is VERY SERIOUS, we have noticed that the search results returned by Switftype are incorrect. Some of the results that it SHOULD BE including for a given user keyword request are NOT included and some of the results that it IS...
